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Ukrainian Water Quality Stations Dataset
Data Science and Analytics
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About
This dataset provides average monthly Biochemical Oxygen Demand (BOD) measurements from eight consecutive state water monitoring stations in a river. Its primary purpose is to facilitate the prediction of BOD values at a target station using data collected from seven upstream stations. BOD is measured in milligrams of oxygen per cubic decimetre (mgO/cub. dm), with the maximum permissible value in Ukraine being 3 mgO/cub. dm. The dataset is crucial for water quality analysis and environmental monitoring, particularly for assessing pollution levels and predicting water conditions in key locations.
Columns
- Id: A unique identifier assigned to each monthly averaged data entry.
- target: Represents the monthly averaged BOD value at the target monitoring station, measured in mgO/cub. dm. This column is typically absent in test data as it is the value to be predicted.
- 1-7: These columns represent the monthly averaged BOD values from seven individual upstream monitoring stations (Station 1 to Station 7), measured in mgO/cub. dm. Station 1 is closest to the target station, with subsequent stations numbered further upstream.
Distribution
The dataset contains average monthly data, with the number of observations varying for each station, ranging from approximately 4 to 20 years. Data files are typically in CSV format, and sample files will be uploaded separately to the platform. The provided sample data indicates approximately 63 records, with 8 columns. It is noted that a significant percentage of values for stations 3-7 are missing (e.g., 76% missing for station 3).
Usage
This dataset is ideal for:
- Analysis of Data Dependencies: Conducting Exploratory Data Analysis (EDA) to understand relationships between BOD levels at different stations.
- Predictive Modelling: Developing and testing models to predict the target station's water quality (BOD) with high accuracy.
- Impact Analysis: Investigating the separate influence of the first two upstream stations (1-2) compared to the next five (3-7) on prediction accuracy.
Coverage
The dataset focuses on river water monitoring stations, specifically within the context of Ukraine, as indicated by the involvement of the State Water Resources Agency of Ukraine. The time range covers average monthly data, with varying observation periods for different stations, from 4 to about 20 years. Training and test data are selected to maintain a consistent percentage of non-missing values across stations with both long and short data series.
License
Attribution 4.0 International (CC BY 4.0)
Who Can Use It
- Data Scientists and Analysts: For developing machine learning models for environmental forecasting and water quality prediction.
- Environmental Researchers: To study hydrological patterns, pollution impact, and long-term trends in river water quality.
- Government Agencies: Particularly those involved in water resource management and environmental protection, for informed policy-making and monitoring.
- Students: For academic projects focusing on regression analysis, time series data, and environmental science applications.
Dataset Name Suggestions
- River BOD Prediction Monitoring Data
- Ukrainian Water Quality Stations Dataset
- BOD5 River Water Forecasting Data
- Upstream River BOD Levels for Prediction
- Environmental River BOD Measurement Data
Attributes
Original Data Source: Ukrainian Water Quality Stations Dataset
QUALITY